Search the web or X/Twitter using xAI Grok server-side tools (web_search, x_search) via the xAI Responses API. Use when you need tweets/threads/users from X, want Grok as an alternative to Brave, or you need structured JSON + citations.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install grok-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install grok-searchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/grok-search/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What grok-search can do for your AI workflow
Query Grok for real-time information about trending topics on X (Twitter) directly from your AI agent
Compare Grok's responses with other LLMs to get a second opinion on complex questions
Use Grok's unfiltered mode for creative writing tasks that require a more direct tone
Fetch live news summaries and breaking event analysis without leaving your workflow
Try these prompts with your AI agent after installing grok-search
What's trending on X right now related to AI?
Queries Grok's real-time X data feed and returns a ranked list of trending AI topics with engagement metrics
Ask Grok to summarize the latest news about OpenAI
Sends the query to Grok, which pulls live data from X and news sources, then returns a concise summary with source links
Use Grok to fact-check this claim with real-time data
Passes the claim to Grok, which cross-references it against current X posts and news, then returns a verdict with evidence
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Grok is xAI's large language model, known for its real-time access to X (Twitter) data and its direct, unfiltered response style. Unlike most LLMs, Grok can answer questions about current events and trending topics without a knowledge cutoff, making it uniquely useful for real-time research and social media analysis.
grok-search works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install grok-search once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
grok-search installs like any other MCP skill: drop the folder into `~/.claude/skills/grok-search/` for global access, or `.claude/skills/grok-search/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/grok-search`, or let the AI decide when it's the right tool for your request.
grok-search has been installed 4,861 times, making it one of the more actively used skills in the Marketing & Growth category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/grok-search/ for personal use (all projects), or .claude/skills/grok-search/ for project-specific use. Restart your AI client, then invoke with /grok-search or let the AI discover it automatically.
grok-search supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
grok-search is free to install. Check the repository for licensing information.
Search the web or X/Twitter using xAI Grok server-side tools (web_search, x_search) via the xAI Responses API. Use when you need tweets/threads/users from X, want Grok as an alternative to Brave, or you need structured JSON + citations.
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